aeon
K-Dense-AI
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…
ResearchClaude Code
34KGitHub
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Results · “dense-retrieval”
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arbor
K-Dense-AI
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinemen…
ResearchClaude Code
34KGitHub
analytical-method-validation
K-Dense-AI
Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>,…
ResearchClaude Code
34KGitHub
bgpt-paper-search
K-Dense-AI
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including metho…
38.5KGitHub
Controllable RAG Agent
NirDiamant
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…
1.6KGitHub
1.1KGitHub
RAG From Scratch
pguso
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
ResearchReview before use
1.5KGitHub
Youtu Graphrag
TencentCloudADP
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
ResearchReview before use
1.2KGitHub
Raglite
superlinear-ai
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
ResearchReview before use
1.2KGitHub
Awesome AI Memory
IAAR-Shanghai
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system des…
ResearchReview before use
978GitHub
Local RAG
jonfairbanks
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
ResearchReview before use
746GitHub
RAG
NVIDIA-AI-Blueprints
This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
ResearchReview before use
659GitHub
HiRAG
hhy-huang
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
ResearchReview before use
547GitHub
80KGitHub
deepxiv
wanshuiyin
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepX…
ResearchClaude Code
15.7KGitHub
comm-lit-review
wanshuiyin
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN,…
ResearchClaude Code
15.6KGitHub
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